use axum::{
    extract::{Path, State},
    http::StatusCode,
    response::Json,
};
use fluviox_shared::models::*;
use serde_json::{json, Value};
use std::sync::Arc;
use uuid::Uuid;
use crate::AppState;

pub async fn list_pipelines(
    State(_state): State<Arc<AppState>>,
) -> Result<Json<Vec<Pipeline>>, StatusCode> {
    // TODO: 实现管道列表查询
    let pipelines = vec![
        Pipeline {
            id: Uuid::new_v4(),
            name: "示例管道".to_string(),
            description: Some("这是一个示例数据管道".to_string()),
            connections: vec![],
            status: PipelineStatus::Running,
            metrics: PipelineMetrics {
                records_processed: 1000,
                bytes_processed: 50000,
                errors_count: 0,
                last_sync_at: Some(chrono::Utc::now()),
                avg_latency_ms: 15.5,
            },
            created_at: chrono::Utc::now(),
            updated_at: chrono::Utc::now(),
        }
    ];
    
    Ok(Json(pipelines))
}

pub async fn create_pipeline(
    State(_state): State<Arc<AppState>>,
    Json(_request): Json<Value>,
) -> Result<Json<Value>, StatusCode> {
    // TODO: 实现管道创建逻辑
    Ok(Json(json!({"message": "管道创建功能待实现"})))
}

pub async fn get_pipeline(
    State(_state): State<Arc<AppState>>,
    Path(_id): Path<Uuid>,
) -> Result<Json<Value>, StatusCode> {
    // TODO: 实现管道详情查询
    Ok(Json(json!({"message": "管道详情查询功能待实现"})))
}

pub async fn get_pipeline_metrics(
    State(_state): State<Arc<AppState>>,
    Path(_id): Path<Uuid>,
) -> Result<Json<PipelineMetrics>, StatusCode> {
    // TODO: 实现管道指标查询
    let metrics = PipelineMetrics {
        records_processed: 1000,
        bytes_processed: 50000,
        errors_count: 0,
        last_sync_at: Some(chrono::Utc::now()),
        avg_latency_ms: 15.5,
    };
    
    Ok(Json(metrics))
}
